Web 3.0 Is Coming
Mr. Stratocaster, Post-Doc
Ontology engineering is a powerful and efficient tool for content organization and generation of inferences. It is the main weapon of the future to carry out predictions, projections and tendencies.
The use of semantic tools is the I.T. and the internet future. When the 2.0 internet arose companies in this area quickly and exponentially increased their market value. The same is going to happen with the arrival of Internet 3.0, when companies that are prepared will rapidly reach hundreds of millions of dollars.
The power to aggregate interactions between humans and machines is what determines the ability to infer more accurately (web 3.0).
When the page turns from the internet 2.0 to the internet 3.0, projects that have the technical and scientific basis to be true onto-semantic applications worldwide directed to the general public, have strong potential to quickly reach high market values.
This organization entails interaction between different layers of knowledge, which potentiates the results. Softwares and suites for knowledge representation, ontology editing, context extraction, feeling analysis, pattern detection, relationship networks and link analysis. All this massively used in critical intelligence operations (the use of combined strings with related terms, synonyms, holonyms, meronymys, heperonies and hyponymia) will be great market differentials.
When information from different levels of knowledge can be associated, detected, processed and analyzed, inferential power ascends to a higher level than just two-dimensional mathematical/statistical processing. This is called "Three-Dimensional Management of Knowledge".
Through this kind of technique can detect, obtaining and measuring aspects that go unnoticed by traditional readings. For example, the degree of motivation of actors and influencers of a critical process of performance and decision making in an event under analysis (election, sporting event, market negotiation and similars), generating access to information that traditional systems do not detect.
When the cycle of these companies reach the stock market, special attention will be required to their performance.